Skip to main content
Log in

SUSIG: an on-line signature database, associated protocols and benchmark results

  • Theoretical Advances
  • Published:
Pattern Analysis and Applications Aims and scope Submit manuscript

Abstract

We present a new online signature database (SUSIG). The database consists of two parts that are collected using different pressure-sensitive tablets (one with and the other without an LCD display). A total of 100 people contributed to each part, resulting in a database of more than 3,000 genuine signatures and 2,000 skilled forgeries. The genuine signatures in the database are real signatures of the contributors. In collecting skilled forgeries, forgers were shown the signing process on the monitor and were given a chance to practice. Furthermore, for a subset of the forgeries (highly skilled forgeries), this animation was mapped onto the LCD screen of the tablet so that the forgers could trace over the mapped signature. Forgers in this group were also informed of how close they were to the reference signature, so that they could improve their forgery quality. We describe the signature acquisition process and several verification protocols for this database. We also report the performance of a state-of-the-art signature verification system using the associated protocols. The results show that the highly skilled forgery set is significantly more difficult compared to the skilled forgery set, providing researchers with challenging forgeries. The database is available through http://biometrics.sabanciuniv.edu.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ortega-Garcia J, Fierrez-Aguilar J, Simon D, Gonzalez J, Faundez-Zanuy M, Espinosa V, Satue A, Hernaez I, Igarza JJ, Vivaracho C, Escudero D, Moro QI (2003) MCYT baseline corpus: a bimodal biometric database. IEE Proc Vis Image Signal Process Spec Issue Biometrics Internet 150:395–401

    Article  Google Scholar 

  2. Garcia-Salicetti S, Beumier C, Chollet G, Dorizzi B, Leroux-Les Jardins J, Lunter J, Ni Y, Petrovska-Delacretaz D (2003) Biomet: a multimodal person authentication database including face, voice, fingerprint, hand and signature modalities. In: Proceedings of 4th international conference on audio and video-based biometric person authentication, pp 845–853

  3. Yeung D, Chang H, Xiong Y, George S, Kashi R, Matsumoto T, Rigoll G (2004) SVC2004: 1st international signature verification competition. In: Proceedings of the international conference on biometric authentication. Also available at http://www4.comp.polyu.edu.hk/~icba/, pp 16–22

  4. Li B, Zhang DKW (2006) Online signature verification based on null component analysis and principal component analysis. Pattern Anal Appl 8:345–356

    Article  Google Scholar 

  5. Richiardi J, Ketabdar H, Drygajlo A (2005) Local and global feature selection for on-line signature verification. In: Proceedings of the 12th international conference on document analysis and recognition, pp 625–629

  6. Vielhauer C, Steinmetz R, Mayerhofer A (2002) Biometric hash based on statistical features of on-line signatures. In: Proceedings of the 16th international conference on pattern recognition, vol 1, pp 123–126

  7. Jain A, Griess F, Connell S (2002) On-line signature verification. Pattern Recogn 35(12):2963–2972

    Article  MATH  Google Scholar 

  8. Leclerc F, Plamondon R (1994) Automatic signature verification: the state of the art. Int J Pattern Recogn Artif Intell 8:643–660

    Article  Google Scholar 

  9. Kholmatov A, Yanikoglu B (2005) Identity authentication using improved online signature verification method. Pattern Recogn Lett 26(15):2400–2408

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank the referees whose valuable comments improved the writing of this paper, as well as those who donated their time and signatures to the database. This work is supported by TÜBITAK (The Scientific and Technical Research Council of Turkey) under project number 105E165.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alisher Kholmatov.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kholmatov, A., Yanikoglu, B. SUSIG: an on-line signature database, associated protocols and benchmark results. Pattern Anal Applic 12, 227–236 (2009). https://doi.org/10.1007/s10044-008-0118-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10044-008-0118-x

Keywords

Navigation